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Toxicogenomics in biomarker discovery
Marc F Decristofaro1, Kellye K Daniels
1Biomarker Development, Novartis Pharmaceuticals Corporation, East Hanover, New Jersey, USA.
Abstract:
In the area of toxicology, the subdiscipline of toxicogenomics has emerged, which is the use of genome-scale mRNA expression profiling to monitor responses to adverse xenobiotic exposure. Toxicogenomics is being investigated for use in the triage of compounds through predicting potential toxicity, defining mechanisms of toxicity, and identifying potential biomarkers of toxicity. Whereas various approaches have been reported for the development of algorithms predictive of toxicity and for the interpretation of gene expression data for deriving mechanisms of toxicity, there are no clearly defined methods for the discovery of biomarkers using gene expression technologies. Ways in which toxicogenomics may be used for biomarker discovery include analysis of large databases of gene expression profiles followed by in silico mining of the database for differentially expressed genes; the analysis of gene expression data from preclinical studies to find differentially expressed genes that correlate with pathology (coincident biomarker) or precede pathology (leading biomarker) within a lead series; or gene expression profiling can be performed directly on the blood from preclinical studies or clinical trials to find biomarkers that can be obtained noninvasively. This chapter broadly discusses the issues and the utility of applying toxicogenomics to biomarker discovery.
Insights
Toxicogenomics, using gene expression profiling, aids in predicting compound toxicity and identifying biomarkers. This review explores methods for discovering toxicity biomarkers through gene expression analysis.
Area of Science:
- Toxicology
- Toxicogenomics
- Gene Expression Profiling
Background:
- Toxicogenomics utilizes genome-scale mRNA expression profiling to assess adverse xenobiotic exposure.
- It is explored for compound triage, toxicity mechanism elucidation, and biomarker identification.
- Current methods for toxicity prediction and mechanism discovery exist, but biomarker discovery lacks clear protocols.
Purpose of the Study:
- To broadly discuss the issues and utility of applying toxicogenomics to biomarker discovery.
- To highlight the potential of gene expression technologies in identifying toxicity biomarkers.
- To review existing and potential approaches for toxicogenomic biomarker discovery.
Main Methods:
- Analysis of large gene expression profile databases with in silico mining for differentially expressed genes.
- Examination of preclinical study gene expression data to identify genes correlating with or preceding pathology.
- Direct gene expression profiling on blood samples from preclinical studies or clinical trials for noninvasive biomarker discovery.
Main Results:
- Toxicogenomics offers multiple avenues for biomarker discovery, including database mining and analysis of preclinical/clinical data.
- Identification of coincident and leading biomarkers is possible through gene expression analysis.
- Noninvasive biomarker discovery is feasible via gene expression profiling of blood samples.
Conclusions:
- Toxicogenomics presents a powerful approach for advancing toxicity testing and drug development.
- Standardized methods for toxicogenomic biomarker discovery are needed.
- Further research is warranted to fully leverage toxicogenomics for identifying predictive and diagnostic biomarkers.
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